🇦🇪 UAE 🇺🇸 USA 🇬🇧 UK 🇦🇸 Saudi Arabia 🇮🇳 India
Agentic AI Development

AI That Doesn't Just Answer — It Acts

Custom agentic AI systems that plan, decide and execute multi-step tasks across your tools and APIs — without waiting for a human to approve every action. From single autonomous agents to full multi-agent pipelines.

Multi-Agent Architecture
LLM+ Tool Use Powered
2–4 wksTypical Delivery
from $800Starting Price
Agent Loop · Research & Outreach Autonomous execution
Goal Find 10 qualified leads in Dubai real estate
Plan + Search Agent browses web, extracts contacts
Reason Score & qualify each lead automatically
Act Add to CRM + send personalised outreach

Every Kind of Agentic AI System

From a single autonomous agent to a coordinated multi-agent pipeline — built to your exact use case.

Single-Purpose Agents

A focused agent with one goal — research, outreach, data extraction, report generation — that runs end-to-end without human hand-holding.

Multi-Agent Pipelines

Multiple specialised agents — researcher, writer, reviewer, notifier — coordinated by an orchestrator to complete complex goals no single agent could handle alone.

Tool-Use Agents

Agents that browse the web, call your APIs, read and write your CRM, run code and send messages — using the right tool at the right step automatically.

Memory & Context Systems

Long-term memory so your agent remembers past interactions, customer history and business context across every session — not just within one conversation.

Human-in-the-Loop

Escalation logic that pauses the agent and asks a human only when genuinely needed — keeping automation high without removing oversight where it matters.

Custom API & Tool Integrations

Any external system — your CRM, ERP, WhatsApp, Slack, payment gateway — connected as a tool your agent can call and act on.

From a Goal to a Working Autonomous Agent

01

Define the Goal

We start with what outcome you want — not what the agent should do step by step, but what done looks like.

02

Map Tools & Data

We identify every system the agent needs to read, write or call, and build the integrations it needs to act.

03

Design the Agent Architecture

Single agent or multi-agent, memory type, escalation rules and tool-use strategy — designed before any code is written.

04

Build & Prompt Engineer

Agent built, tools connected, prompts tuned so the agent reasons correctly across edge cases, not just the happy path.

05

Test, Evaluate & Deploy

Evaluated against real scenarios with guardrails in place, then deployed with monitoring and an easy escalation path.

Agentic AI Built for Real Business Outcomes

Sales & Lead Research

Agent researches prospects, scores them, personalises outreach and logs everything in your CRM — fully autonomous.

Customer Support

Agent resolves support requests end-to-end — checking order status, processing refunds, escalating only when genuinely stuck.

Research & Reporting

Agent browses sources, pulls data, structures findings and delivers a finished report — without a human doing any of the steps.

Document Processing

Agent reads incoming documents, extracts key data, validates it against your systems and routes the result — automatically.

Finance & Operations

Agent monitors transactions, flags anomalies, generates reports and sends the right alert to the right person instantly.

HR & Recruitment

Agent screens CVs, scores candidates, schedules interviews and sends updates — handling the full top-of-funnel autonomously.

Why Agentic AI Is Different

Most "AI" products are chatbots — they respond. Agentic AI acts.

Traditional Chatbot

Responds to a question. Stops after one answer. Needs a human to take the next action. Can't use external tools on its own. Forgets context after the conversation ends.

Agentic AI

Plans a sequence of steps. Uses tools — your CRM, the web, APIs, code — to complete each one. Remembers context across sessions. Keeps working until the goal is done, not just until one answer is given.

Built on Leading AI Infrastructure

We use the right model, memory and tool-use framework for your agent's complexity and cost requirements.

GPT-4o / Claude 3.5 LangChain / LangGraph CrewAI Vector Memory (Pinecone) Custom Tool APIs WhatsApp Business API Hubspot / Salesforce n8n / Zapier AWS / GCP / Azure Python Guardrails & Evals LangSmith Observability

Real Results from Real Teams

"We used to spend two days a week manually researching prospects and writing first-touch emails. Evynta built an agentic AI that does the full research-to-outreach cycle overnight. Our team just reviews and approves in the morning."
AM
Aisha M.VP Sales, B2B SaaS, UAE 🇦🇪
"Our support team was handling 400+ tickets a week with a 3-person team. The agentic AI Evynta built now resolves 70% of them end-to-end — checking orders, processing refunds, sending updates — without anyone touching them."
JT
James T.Head of Operations, E-commerce, UK 🇬🇧

Agentic AI Questions Answered

What is Agentic AI?

Agentic AI refers to AI systems that can plan, make decisions and take multi-step actions across tools and APIs on their own — without needing a human to approve or trigger each step. Unlike a chatbot that only responds, an agentic AI agent actively works toward a goal, using the tools it has access to until the task is done.

How much does Agentic AI development cost?

A focused single-purpose agent starts from $800. A full multi-agent system with memory, tool use and human-in-the-loop escalation ranges from $2,500 to $12,000+, depending on complexity. See our pricing page for full details.

What can an agentic AI agent actually do?

An agentic AI agent can browse the web, call APIs, write and run code, read and update your CRM, send emails, fill forms and make decisions — chaining these steps together automatically to complete a goal, without human input at each stage.

What's the difference between an AI chatbot and an agentic AI agent?

A chatbot responds to questions. An agentic AI agent takes actions — it uses tools, runs tasks, makes decisions across multiple steps and works toward an outcome autonomously. The key difference is agency: the ability to act, not just respond.

Do you build multi-agent systems?

Yes. We build multi-agent architectures where specialised agents — research, execution, review, notification — work together on complex workflows, coordinated by an orchestrator agent, delivering outcomes no single agent could handle alone.

Agentic AI works even better combined with Generative AI, workflow tools and the right integrations.

Generative AI

Power your agent's content creation, summarisation and reasoning with custom Generative AI builds.

Learn more

Workflow Builder

Connect your agentic AI to every tool in your stack through n8n, Zapier or a custom workflow.

Learn more

AI Transformation

Rolling out agentic AI across your whole organisation? See our full AI Transformation programme.

Learn more

Ready to Build an Agent That Actually Acts?

Book a free 30-minute consultation. We'll scope your agent, define the goal and give you a clear timeline and quote — no obligation.

Starting from $800  ·  Live in 2–4 weeks  ·  UAE, USA, UK & India